Corpus ID: 212463718

AN EFFECTIVE ENHANCEMENT IN OPTIMAL ARCHITECTURE CONSTRUCTION OF ENSEMBLING CLASSIFIERS FOR FINANCIAL FRAUD DETECTION

@inproceedings{Gayathri2016ANEE,
  title={AN EFFECTIVE ENHANCEMENT IN OPTIMAL ARCHITECTURE CONSTRUCTION OF ENSEMBLING CLASSIFIERS FOR FINANCIAL FRAUD DETECTION},
  author={C. Gayathri and R. Gunasundari},
  year={2016}
}
Financial fraud detection plays a major role in online transaction applications for detecting and avoiding frequently occurring fraudulent transactions. Efficient classification techniques are required to identify malicious patterns from financial database for detecting fraudulent activities. Optimal ensemble architecture selection using Firefly Algorithm with fuzzy integral measure based ensemble fusion using Choquet integral (OEAS-FIMCI-FFA) approach was developed for selecting accurate… CONTINUE READING

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